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Amazon Web Services is betting that moving data between storage, database, and analytics workflows will be the secret sauce for getting more workloads on legacy players.
As part of extensive database storage and updates, AWS released AWS Glue Elastic Views. The service manages the data stores and automatically keeps them up to date across all databases and analytics. “Having the ability to move data from the data warehouse to the data warehouse is transformational,” said Jassy.
Additionally, AWS released a series of database migration tools.
“People really want to move away from proprietary databases. All databases are reinventing themselves,” Jassy said. “If you have data on gigabyte or terabyte volumes, you can get away with a relational database. Once you get to petabytes and exabytes, it’s too complicated.”
Jassy also said that analytics stores are also available for simplicity. “You want these specially designed test shops,” Jassy said.
Add it up and AWS Jassy sees purpose-built databases and the free flow of data as a weapon against traditional companies like Oracle and rivals like Microsoft. The end game here is pretty clear. The more database and analytics workloads AWS takes in, the more you can use machine learning and model training to move up the value chain.
To that end, AWS released SageMaker Data Wrangler, which prepares data for machine learning from data warehouses on AWS or through third parties.
The database and storage moves included:
- AWS Glue Elastic Views to combine and replicate data across different data stores.
- Aurora Serverless v2, which enables you to scale to hundreds of thousands of transactions in fractions of a second, scale capacity and save on provisioning capacity. MySQL for serverless available now with Postgres on deck.
- Babelfish for Aurora PostgreSQL, which enables SQL Server applications on Aurora PostgreSQL. Babelfish for Aurora PostgreSQL understands the proprietary SQL Server dialect and communications protocol. AWS will open Babelfish for PostgreSQL.
- Faster Io2 Block Express to take on storage area networks with lower latency. AWS claims that io2 Block Express will increase the performance of SAP HANA, Microsoft SQL Server, Oracle, and Apache Cassandra workloads.
